We have no idea: This email list strips most attachments. I'm almost
certain that you don't need all of your "too large" data to
provide a
small reproducible example, either. Please see
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
for some ideas on how to do that without requiring attachments.
If this is something specific to the package you mention, it might be
worthwhile to start by asking the package maintainer for help.
Sarah
On Mon, Sep 1, 2014 at 3:29 PM, Zilefac Elvis <zilefacelvis at yahoo.com>
wrote:> Hi,
> I have a plotting issue which I am trying to resolve in R. Please load my
attached sample data (I used dput(lapply(sim.summary,head,1)) but the data are
too large) to R, install "Rglimclim" package and run this code which
shows an example plot I would like to change. My main function,
"myplot" is found in the attached R object:
>
#------------------------------------------------------------------------------------------------------------------------------
> require(Rglimclim) #http://www.ucl.ac.uk/~ucakarc/work/rain_glm.html
>
myplot(sim.summary,plot.titles="",which.stats="Mean",quantiles=c(0,0.025,0.5,0.975,1),
>
imputation=obs.summary,which.sites=NULL,which.timescales="daily",colours.sim=c("magenta","darkorchid1","deeppink3","yellow"),
> cex.lab=1.4,cex.axis=1.5,ylabs="Precipitation (mm)")
> mtext(text=expression(paste(italic(Mean[C]))),font=3, side=3, line=1,
cex=1.3, col="black")
>
#-------------------------------------------------------------------------------------------------------------------------------
>
> I would like to remove the colours completely (EXCEPT THE BOLD BLACK COLOUR
BAND) and replace them with line types in R. That is, I want to specify various
inbuilt R line types/line colours/line width for
quantiles=c(0,0.025,0.5,0.975,1). The colours can be removed by setting colours
in
colours.sim=c("magenta","darkorchid1","deeppink3","yellow")
to "white".
>
> Practically, I would like my final code after modifying "myplot"
function to look like:
>
>
#---------------------------------------------------------------------------------------------------------
>
myplot(sim.summary,plot.titles="",which.stats="Mean",quantiles=c(0,0.025,0.5,0.975,1),
>
imputation=obs.summary,which.sites=NULL,which.timescales="daily",plot.type=c("l","l","l","l","l"),
>
line.type=c(2,3,4,5,6),linecol.type=c('green4','red','blue','darkorchid1','deeppink3'),
> line.width=c(2,2,2,2,2),
cex.lab=1.4,cex.axis=1.5,ylabs="Precipitation (mm)")
> mtext(text=expression(paste(italic(Mean[C]))),font=3, side=3, line=1,
cex=1.3, col="black")
>
#---------------------------------------------------------------------------------------------------------
>
> I have 20 such graphs to develop.
> Thanks for any inputs.
> AT.
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Sarah Goslee
http://www.functionaldiversity.org